Advanced Python Development :

Harness 25 Years of Real-World Experience to Master Advanced Python and Skyrocket Your Earnings

What you'll learn

Master Pythonic Thinking: Learn how to write elegant, concise, and readable Python code by understanding Pythonic syntax, leveraging dynamic typing effectively,

Explore Advanced Data Structures: Dive deep into lists, tuples, sets, and dictionaries in Python, and discover practical examples demonstrating their usage for

Gain Proficiency in Object-Oriented Programming: Understand the principles of object-oriented programming (OOP) in Python, including classes, objects, inheritan

Build Real-World Applications: Develop practical Python skills by building real-world applications from scratch, including web scrapers, data analysis tools, an

Requirements

Completion of a comprehensive beginner-level Python course on Udemy: Before enrolling in this advanced Python course, it is recommended that you have already completed a beginner-level Python course on Udemy or have equivalent knowledge and experience in Python programming. Familiarity with basic Python concepts: You should be comfortable with fundamental Python concepts such as variables, data types, control structures (if statements, loops), functions, and basic data structures (lists, tuples, dictionaries). Proficiency in object-oriented programming (OOP) concepts: A solid understanding of object-oriented programming principles, including classes, objects, inheritance, and polymorphism, is essential for this course. Experience with Python libraries and frameworks: It is beneficial to have some experience working with Python libraries and frameworks commonly used in advanced Python development, such as NumPy, Pandas, Matplotlib, Django, and Flask. Access to a computer: You'll need access to a computer (Windows, Mac, or Linux) with an internet connection to watch the video lectures, access course materials, and complete coding exercises. A desire to advance your Python skills: This course is designed for learners who are eager to deepen their understanding of Python programming and expand their knowledge to an advanced level. If you're ready to take your Python skills to the next level, this course is for you!

Description

Take your Python skills to the next level with our comprehensive advanced Python course! Whether you're an experienced Python programmer looking to deepen your understanding or a professional seeking to enhance your coding proficiency, this course is designed to provide you with the advanced knowledge and practical skills you need to excel in Python development.What Will You Learn?Pythonic Thinking: Master Pythonic syntax, dynamic typing, and built-in functions to write elegant, efficient, and maintainable code.Advanced Data Structures: Dive deep into lists, tuples, sets, and dictionaries, and explore practical examples for data manipulation and organization.Object-Oriented Programming: Understand the principles of OOP in Python, including classes, objects, inheritance, and polymorphism, and learn how to apply them to solve real-world problems.Asynchronous Programming: Explore asynchronous programming concepts using asyncio, coroutines, and tasks, and discover best practices for building scalable and responsive Python applications.Python Libraries: Delve into popular Python libraries and frameworks such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, Django, and Flask, and learn how to leverage them for data analysis, machine learning, web development, and more.Real-World Applications: Build advanced Python applications from scratch, including web scrapers, data analysis tools, machine learning models, and web applications, and gain confidence in debugging and testing your code effectively.Prerequisites:Completion of a comprehensive beginner-level Python course on Udemy or equivalent knowledge and experience in Python programming.Familiarity with basic Python concepts such as variables, data types, control structures, functions, and basic data structures.Proficiency in object-oriented programming (OOP) concepts, including classes, objects, inheritance, and polymorphism.Experience working with Python libraries and frameworks commonly used in advanced Python development.Access to a computer with an internet connection.Who Is This Course For?Experienced Python programmers looking to deepen their understanding and enhance their coding proficiency.Professionals seeking to advance their careers in Python development and expand their skill set to an advanced level.Anyone with a passion for learning and a desire to unlock the full potential of Python programming.Enroll now and embark on a journey to master advanced Python programming! Let's unlock the full potential of Python together.

Overview

Section 1: Module 1: Pythonic Thinking

Lecture 1 Pythonic Thinking

Section 2: Module 2: Advanced Data StructuresDiving into Lists, Tuples, Sets, and Dictiona

Lecture 2 Module 2: Advanced Data StructuresDiving into Lists, Tuples, Sets, and Dictiona

Section 3: Module 3: Object-Oriented Programming

Lecture 3 Module 3: Object-Oriented Programming

Section 4: Module 4: Asynchronous Programming

Lecture 4 Module 4: Asynchronous Programming

Section 5: Module 5: Python Libraries

Lecture 5 Module 5: Python Libraries

Section 6: Module 11: Software Development Best Practices

Lecture 6 Module 11: Software Development Best Practices

Section 7: Module 12: Advanced Algorithms and Data Structures

Lecture 7 Module 12: Advanced Algorithms and Data Structures

Section 8: Module 13: Software Architecture and Scalability

Lecture 8 Module 13: Software Architecture and Scalability

Section 9: lecture slides

Lecture 9 all slides

Completion of a comprehensive beginner-level Python course on Udemy: Before enrolling in this advanced Python course, it is recommended that you have already completed a beginner-level Python course on Udemy or have equivalent knowledge and experience in Python programming. Familiarity with basic Python concepts: You should be comfortable with fundamental Python concepts such as variables, data types, control structures (if statements, loops), functions, and basic data structures (lists, tuples, dictionaries). Proficiency in object-oriented programming (OOP) concepts: A solid understanding of object-oriented programming principles, including classes, objects, inheritance, and polymorphism, is essential for this course. Experience with Python libraries and frameworks: It is beneficial to have some experience working with Python libraries and frameworks commonly used in advanced Python development, such as NumPy, Pandas, Matplotlib, Django, and Flask. Access to a computer: You'll need access to a computer (Windows, Mac, or Linux) with an internet connection to watch the video lectures, access course materials, and complete coding exercises. A desire to advance your Python skills: This course is designed for learners who are eager to deepen their understanding of Python programming and expand their knowledge to an advanced level. If you're ready to take your Python skills to the next level, this course is for you!